Examining the level and distribution of catastrophic health expenditure from 2013 to 2018: A province-level study in China

Chen, Mingsheng; Xu, Lei; Liu, Si; Wang, Zhonghua; Jan, Stephen

doi:10.1016/j.econmod.2023.106233

Cited by 4 publications

(2 citation statements)

References 39 publications

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“…Similar findings were observed inthe National Health Services Survey (NHSS) conducted in 2013, 2018 to determine the incidence of CHE among poorer households, elderly persons, and individuals who visit private health clinics for treatment 22 . Similarly, in 2013 and 2018, a study in China using the National Health Services Survey (NHSS) revealed that the incidence of CHE in urban areas was 27.50%(2013) and 34.52%(2018) and that in rural areas was 21.72%(2013) and 35.89%(2018) 23 .…”

Section: Discussionmentioning

confidence: 99%

“…In the present study, only approximately 12% of the households had health insurance, there was a statistically significant difference in the average median cost amongsocioeconomic classes.A study showed that households with a low socioeconomic status had a greater proportion of OOPEsand that insurance reduces the risk of catastrophic health expenditures 23 .…”

Section: Discussionmentioning

confidence: 99%

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Relationship between the cost of illness and quality of life among adolescents with type 1 diabetes—a mixed method study

Chakrashali,

Madhu,

Sree

et al. 2024

Sci Rep

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Type 1 diabetes mellitus (T1DM) is a major problem worldwide that affects the quality of life, well-being of patients and their families. This study aimed to determine the relationship between the cost of illness and quality of life among patients with T1DM. A concurrent, parallel, mixed-method study of 113 adolescents with T1DM registered in public and private hospitals in the Mysore district was conducted by obtaining data related to the cost of illness and quality of life using a validated Diabetes-Specific Quality of Life (DSQoL) questionnaire. Thematic analysis was used to identify the themes. There was a significant association amonghealth insurance status, treatment facility type, catastrophic health expenditure (CHE), and cost of illness. The CHE proportion was32.7%. Financial sources for treatment were met primarily by borrowing money with interest (58 patients, 51.3%), followed by individualincome (40 patients, 35.3%), contributions from friends and relatives (10 patients, 8.8%), and selling of assets (5 patients, 4.4%). The monthly health expenditures of approximately 22 (19.46%) households were greater than their monthly incomes. There was a positive correlation (rvalue of 0.979) between the cost of treatment and the DSQoL score, and this correlation was statistically significant, with a p value < 0.001. The higher theDSQoL score was, the worse the quality of life and the worse the well-being of T1DM patients. Three themes were identified: the impact of financial cost on family coping, the impact of financial cost on seeking care and the emotional burden of financial cost. There was a statistically significant positive correlation between the cost of treatment and the DSQoLscore. Adolescents with T1DM who had greatertreatment costs had worseDSQoL, and significantly lower health expenses were observed among adolescentswho had health insurance. Cost of illness acts as a barrier to treatment and placesa burden on patients and their families.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Relationship between the cost of illness and quality of life among adolescents with type 1 diabetes—a mixed method study

Chakrashali,

Madhu,

Sree

et al. 2024

Sci Rep

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Consumer Financial Protection Versus Catastrophic Healthcare Expenditure in Zambia

Fombang,

Wanzala

2024

Public Health Challenges

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BackgroundOut‐of‐pocket (OOP) expenses for healthcare are regarded as catastrophic, especially if they account for a substantial amount of a poor household's effective income. This study looks at the frequency and severity of catastrophic healthcare expenditures (CHE) to evaluate the level of monetary safeguarding provided by the present healthcare system in Zambia.MethodsThe study relied on the 2014 Zambia Household Health Expenditure and Utilization Survey, which was carried out in 10 different provinces. The investigated population is divided into quintiles, which divide family units into five groups, each of which represents 20% of the population. The data were analyzed using descriptive statistics, analysis of variance, and pairwise comparisons among the quintiles.ResultsAt 5% level of significance, pairwise analyses of the average of OOP healthcare expenditures as a proportion of non‐food spending reveal that the quintiles have statistically different means. If 10% limit is employed, the concentration index was −0.41, whereas was −0.67. At a 10% limit, the adjusted headcount () is 0.37, and the adjusted overshoot () is 0.15%.ConclusionThe frequency and severity of CHE were negligible during the study period. However, the less fortunate are more susceptible compared to the wealthy to be subjected to the occurrence and severity of CHE. Therefore, policy changes ought to emphasize the protection of the poor and vulnerable to accomplish the goal of universal healthcare (UHC). Finally, research is suggested to include equity and quality in the use of healthcare services.

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Measuring health care access and its inequality: A decomposition approach

Abatemarco,

Aria,

Beraldo

et al. 2024

Economic Modelling

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Examining the level and distribution of catastrophic health expenditure from 2013 to 2018: A province-level study in China

Cited by 4 publications

References 39 publications

Relationship between the cost of illness and quality of life among adolescents with type 1 diabetes—a mixed method study

Relationship between the cost of illness and quality of life among adolescents with type 1 diabetes—a mixed method study

Consumer Financial Protection Versus Catastrophic Healthcare Expenditure in Zambia

Measuring health care access and its inequality: A decomposition approach

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